# pcs-mcp

> Use this tool when you need to access and analyze ProCyclingStats data, such as teams, riders, and races information, to create custom rankings and historical result analysis. It takes website pages as input, scrapes the relevant data, and outputs structured information for further analysis. Ideal for cycling enthusiasts, analysts, and researchers seeking detailed insights into professional cycling statistics.

Canonical page: https://skillsregistry.net/skills/martinceska-pcs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/martinceska-pcs-mcp

## Description

MCP server exposing ProCyclingStats teams, riders, and races data by scraping site pages, enabling custom rankings and historical result analysis.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rut0e895p2)
- **Repository:** <https://github.com/MartinCeska/pcs-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "martinceska-pcs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/martinceska-pcs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/martinceska-pcs-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt